Your POS tells you who bought.Atlas tells you who walked out.

Illustrative store entrance: customers are counted with an age band, and the employee at the counter is told apart from customers.Illustrative scene · Store entrance

Walk-ins since 18:00

214

Sample alerts · Store 14, Saturday

  1. 18:00–18:42214 walk-ins · 58% women · 25–34 leadsFootfall

Quasi Retail turns the CCTV you already own into a live picture of your store: who walked in, where they went, how long they waited and how your staff responded. Footfall, queues, dwell, conversion and staff coverage, with no new hardware.

Counts and alerts only. No faces stored, no identities.

Why teams run Atlas

Your cameras already see every customer. Now they count, understand and act.

  • Conversion you can finally measure.

    Footfall against bills, by hour and by section. You see the Saturday-evening rush that left without buying, and the counter that was short-staffed when it did.

  • Know who is walking in.

    Gender and age mix per store, per hour, per campaign. Stock, staffing and promotions planned on the customers you actually get.

  • Staff where the customers are.

    Live staff-to-customer ratio per zone, idle counters, and response time to an unattended customer. Rosters built on measured peaks.

New cameras. Runs on the CCTV you have
0
Queue and service alerts to the floor in seconds
Real-time
Counted, not sampled: entry, zone and exit
Every visitor
From camera access to your first store report
<1 week

From the field

Every day ends with a store report.

Footfall by hour, who your customers are, peak queues and staff on the floor, set against your POS. Floor alerts reach your team on WhatsApp in seconds.

Quasi Intelligence

Store 14Sat 29 Aug · 10:00–21:30

Conversion 22.4%

Walk-ins
1,486
Women · men
57% · 43%
Conversion
22.4%
Avg dwell, gold section
6.2 min
HourWalk-insLeading age groupPeak queueStaff on floorNote
12–1312835–44 · 38%3 · 1.5 min6Steady
18–1921425–34 · 41%9 · 7 min5Under-staffed at peak
20–219625–34 · 36%2 · 1 min7Over-staffed

Swipe the table for more

Most-visited zone: gold section, 31% of visitorsPDFCSVAPIMulti-store roll-up
A daily store report, exported to PDF, CSV or API, with a roll-up across stores.
6:42
Quasi Retail
  1. Today
  2. Customer unattended · 4 minGold section · display 2 · Cam 04Nearest associate alerted6:39 PM
  3. Billing queue alert9 waiting at 2 open countersEst. wait 7 min · threshold 6Open counter 3 · manager paged6:42 PM
Sample WhatsApp alerts to the floor team.

How it works

From your cameras to your first store report in a week.

  1. 01

    Connect

    We plug into your existing CCTV: NVR, DVR or IP streams. Entrance, aisles, counters, tables. No new cameras, no rewiring.

  2. 02

    See

    The AI counts every visitor, estimates gender and age band, follows them zone to zone, and tells staff from customers.

  3. 03

    Act

    A queue builds, a customer waits unattended, a counter sits idle: the floor manager gets it on WhatsApp or the console in seconds.

  4. 04

    Decide

    Daily and weekly store reports: footfall by hour, who your customers are, conversion and staff coverage, against your POS.

Cameras
Existing NVR / DVRIP streams
Alerts and data
WhatsAppSMSEmailPOS / ERPREST API

What it sees

What it measures on your floor.

The AI counts every visitor, estimates gender and age band, follows them zone to zone, and tells staff from customers, without storing a single face.

  • Footfall counting
  • Gender split
  • Age groups
  • Groups & families
  • Queue length & wait time
  • Zone heatmaps
  • Dwell time per display
  • Walk-in to bill conversion
  • Staff-to-customer ratio
  • Associate response time
  • Idle & phone-use detection
  • Table turnover
  • Shelf & display attention
  • Loitering & after-hours intrusion
  • Guard-at-post detection
  • Hair cap, gloves & uniform compliance
  • Peak-hour forecast

+ metrics we train on your store

Your rules

From signal to floor action, on thresholds you set.

Each signal becomes an alert in seconds, and a record you can manage the store on.

SignalWhat Atlas seesAlertWhat gets recorded
QueueMore than 6 waiting, wait over 4 minOpen counterPage managerQueue length, wait and abandonments per counter
ServiceCustomer unattended over 3 min at a displayNearest associateWhatsAppTime to attend, by associate and zone
ComplianceGuard away from post, hair cap or gloves missing at the counterSupervisorClip savedMinutes off-post, violations per shift
SecurityLoitering at a high-value display, after-hours entrySecurity deskClip savedFrame, zone and timestamp

Your rules, per store, per zone, per hour. Change them from the console.

Where it runs

Built for every format.

  • Jewellery showrooms

    Dwell per counter, unattended customers, families against solo walk-ins, loitering at high-value displays, and the guard confirmed at post.

  • Restaurants & QSR

    Order-counter queues, table turnover, time to serve, and hair cap, glove and uniform compliance, ready for food-safety audits.

  • Fashion & apparel

    Zone heatmaps, trial-room queues, gender and age mix by section, and which displays get looked at but never picked up.

  • Supermarkets & grocery

    Checkout queues and open-lane recommendations, aisle traffic, shelf attention and empty-shelf detection on the aisles that sell.

  • Electronics & showrooms

    Demo-unit dwell, associate engagement time, walk-ins never approached, and which brand walls draw which age groups.

  • Malls & multi-store chains

    One console across every outlet: footfall league tables, store-against-store conversion and staffing benchmarks.

Questions

Common questions

Anything else? Ask us on WhatsApp or call +91 91090 83030.

Do we need new cameras?

No. We plug into your existing CCTV: NVR, DVR or IP streams, at the entrance, aisles, counters and tables. No new cameras and no rewiring.

Does it store customers’ faces?

No. Quasi Retail keeps counts and alerts only. No faces are stored and no identities are kept. It is anonymous by design.

What does it measure?

Footfall, gender split, age groups, groups and families, queue length and wait time, zone heatmaps, dwell per display, walk-in to bill conversion, staff-to-customer ratio, associate response time and more, plus metrics we train on your store.

How do floor staff get alerts?

On WhatsApp or the console, in seconds, on thresholds you set per store, per zone and per hour.

Can it measure conversion?

Yes. Footfall is set against your bills by hour and by section, so you see walk-in to bill conversion and the rush that left without buying.

How soon do we see results?

Under a week from camera access to your first store report.

What does a pilot look like?

A pilot on one store: we connect to your existing cameras, calibrate on your entrances, counters and zones, and hand you the first daily report within the week. Then we switch on live alerts for your floor team. No new hardware and no long contracts.

Live pilot

See your own store the way Atlas sees it, in a week.

A pilot on one store: we connect to your existing cameras, calibrate on your entrances, counters and zones, and hand you the first daily report within the week. Then we switch on live alerts for your floor team. No new hardware and no long contracts.

  • Your cameras
  • Your zones
  • Your POS

Part of Quasi Atlas.

Every product runs on one platform, one data layer and one console. Start with one and add the next when you are ready.

Explore the platform